You are building a customer-facing chatbot for a bank using a Foundation Model API. Legal requires that the assistant never provide investment or tax advice, and instead redirect users to a licensed advisor. During testing, the model occasionally answers 'Should I buy this stock?' with a specific recommendation. You must fix this primarily through prompt construction (not adding external tools or classifiers). Which prompt engineering approach most reliably enforces this restriction?